DeepSeek V3 vs Mistral Small 3.1
Compare DeepSeek V3 and Mistral Small 3.1: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | DeepSeek V3 | Mistral Small 3.1 |
|---|---|---|
| Category | Open Source | Compact |
| Parameters | 671B (37B active) | 24B |
| Context Window | 128K | 128K |
| Input Price | $0.05/1M tokens | $0.02/1M tokens |
| Output Price | $0.09/1M tokens | $0.04/1M tokens |
| Latency | ~400ms | ~120ms |
Choose DeepSeek V3 when:
- ✓ API response generation
- ✓ High-volume processing
- ✓ Code
MoE efficiency, Strong coding, Good structured output
Choose Mistral Small 3.1 when:
- ✓ Lightweight tasks
- ✓ Classification
- ✓ Simple generation
128K context, Low cost, Fast
Verdict: DeepSeek V3 vs Mistral Small 3.1
For cost efficiency, Mistral Small 3.1 wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. DeepSeek V3 excels at API response generation while Mistral Small 3.1 is better for Lightweight tasks. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
DeepSeek V3 costs $0.05/1M input tokens and $0.09/1M output tokens. Mistral Small 3.1 costs $0.02 input and $0.04 output. Mistral Small 3.1 is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek V3 has a 128K context window with ~400ms latency. Mistral Small 3.1 offers 128K context at ~120ms. Both have identical context windows.
Best For
DeepSeek V3 (Open Source) is optimized for: API response generation, High-volume processing, Code. Mistral Small 3.1 (Compact) works best for: Lightweight tasks, Classification, Simple generation.
Try Both on XALEN
Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:
from xalen import XALEN
client = XALEN(api_key="xln_test_YOUR_KEY")
# Use DeepSeek V3
response_a = client.chat.completions.create(
model="deepseek-v3",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Mistral Small 3.1
response_b = client.chat.completions.create(
model="mistral-small-3-1",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, DeepSeek V3 or Mistral Small 3.1?
DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. Mistral Small 3.1 (Compact, 24B) offers 128K context. Choose DeepSeek V3 for API response generation or Mistral Small 3.1 for Lightweight tasks.
How much does DeepSeek V3 cost vs Mistral Small 3.1?
DeepSeek V3: $0.05/1M input, $0.09/1M output. Mistral Small 3.1: $0.02/1M input, $0.04/1M output. Both available on XALEN with batch processing at 50% discount.
Can I use both models on XALEN?
Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between DeepSeek V3 and Mistral Small 3.1 by changing the model parameter. No code changes needed.
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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.